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Tytuł:
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Application of Meta-Heuristics in 5G Network Slicing: A Systematic Review of the Literature.
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Autorzy:
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Gomes R; Applied Research to Distributed Systems Lab, Federal University of Piauí (UFPI), Picos 64607-670, Brazil.
Vieira D; Efrei Research Lab, EFREI Paris, 97800 Villejuif, France.
de Castro MF; GREat Research Lab, Federal University of Ceará (UFC), Fortaleza 60455-760, Brazil.
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Źródło:
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Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Sep 06; Vol. 22 (18). Date of Electronic Publication: 2022 Sep 06.
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Typ publikacji:
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Journal Article; Systematic Review
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Język:
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English
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Imprint Name(s):
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Original Publication: Basel, Switzerland : MDPI, c2000-
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MeSH Terms:
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Algorithms*
Heuristics*
Problem Solving
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Contributed Indexing:
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Keywords: 5G; NSaaS; Virtual Network Embedding (VNE); meta-heuristics; network slicing; network slicing as a service
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Entry Date(s):
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Date Created: 20220923 Date Completed: 20220926 Latest Revision: 20220928
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Update Code:
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20240104
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PubMed Central ID:
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PMC9505386
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DOI:
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10.3390/s22186724
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PMID:
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36146075
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Network slicing is a vital component of the 5G system to support diverse network scenarios, creating virtual networks (slices) by mapping virtual network requests to real networks. The mapping is an arduous computing process, mathematically studied and known as the Virtual Network Embedding (VNE) problem, and its complexity is NP-Hard. The mapping process is oriented to respect the QoS demands from the virtual network requests and the available resources in the physical-substrate infrastructure. Meta-heuristic approaches are a suitable way to solve the VNE problems because of their capacity to escape from the local optimum and adapt the solution search to complex networks; these abilities are essential in 5G networks scenarios. This article presents a systematic review of meta-heuristics organized by application, development and problem-solving approaches to VNE. It also provides the standard parameters to model the infrastructure and virtual network requests to simulate network slicing as a service. Finally, our work proposes some future research based on the discovered gaps.
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